Publications

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Zhu, Q., Chen B. Y., Grezl F., & Morgan N. (2005).  Improved MLP Structures for Data-Driven Feature Extraction for ASR. Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech 2005-Eurospeech 2005). 2129-2132.
Zhu, R., Ma P., Mahoney M. W., & Yu B. (2015).  Optimal Subsampling Approaches for Large Sample Linear Regression.
Zhu, Q., Chen B. Y., Morgan N., & Stolcke A. (2004).  Tandem Connectionist Feature Extraction for Conversational Speech Recognition. Proceedings of the First International Workshop on Machine Learning for Multimodal Interaction (MLMI 2004).
Zhu, Q., Chen B. Y., Grezl F., & Morgan N. (2005).  Improved MLP Structures for Data-Driven Feature Extraction for ASR. Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech 2005-Eurospeech 2005). 2129-2132.
Zhu, Q., Stolcke A., Chen B. Y., & Morgan N. (2005).  Using MLP Features in SRI's Conversational Speech Recognition System. Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech 2005-Eurospeech 2005). 2141-2144.
Zhou, K., Mo L., Kay P., Kwok V.. P. Y., Ip T. N. M., & Tan L. Hai (2010).  Newly Trained Lexical Categories Produce Lateralized Categorical Perception of Color. 107(22), 9974-9978.
Zhou, T., Lee Y. Jae, Yu S. X., & Efros A. A. (2015).  FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences.
Zheng, J., & Stolcke A. (2007).  fMPE-MAP: Improved Discriminative Adaptation for Modeling New Domains. 1573-1576.
Zheng, J., etin Ö. Ç., Huang M.-Y.., Lei X., Stolcke A., & Morgan N. (2007).  Combining Discriminative Feature, Transform, and Model Training for Large Vocabulary Speech Recognition. 4, 633-636.
Zheng, C., Shen G., Li S., & Shenker S. (2006).  Distributed Segment Tree: Support Range Query and Cover Query over DHT. Proceedings of the Fifth International Workshop on Peer-to-Peer Systems (IPTPS).
Zheng, X., Jiang J., Liang J., Duan H., Chen S.., Wan T., et al. (2015).  Cookies Lack Integrity: Real-World Implications. 707-721.
Zhao, T., Choi J., & Friedland G. (2020).  DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models. International Conference on Multimedia Modeling. 729-733.
Zhao, S. Y., Ravuri S., & Morgan N. (2009).  Multi-Stream to Many-Stream: Using Spectro-Temporal Features for ASR. 2951-2954.
Zhao, S. Y., & Morgan N. (2008).  Multi-Stream Spectro-Temporal Features for Robust Speech Recognition. 898-901.
Zhang, H., & Keshav S. (1991).  Large Comparison of Rate-Based Service Disciplines.
Zhang, J. (1991).  The Mean Field Theory in EM Procedures for Markov Random Fields.
Zhang, H., & Ferrari D. (1992).  Rate-Controlled Static Priority Queueing.
Zhang, Y., Paxson V., & Shenker S. (2000).  The Stationarity of Internet Path Properties: Routing, Loss, and Throughput.
Zhang, Y., Breslau L., Paxson V., & Shenker S. (2002).  On the Characteristics and Origins of Internet Flow Rates. ACM SIGCOMM Computer Communication Review. 32(4), 309-322.
Zhang, H., & Knightly E. W. (1994).  Comparison of Rate-Controlled Static Priority and Stop-and-Go.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Zhang, N., Donahue J., Girshick R., & Darrell T. (2014).  Part-Based R-CNNs for Fine-Grained Category Detection.
Zhang, M., Karp B., Floyd S., & Peterson L. (2002).  Improving TCP's Performance Under Reordering with DSACK.
Zhang, Y., & Paxson V. (2000).  Detecting Stepping Stones. Proceedings of the Ninth USENIX Security Symposium.
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.

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